ArticleJournal of the American Heart Association2025
Social Determinants of Health Framework Identifies Patients at Risk for Loss to Follow-Up After Stroke.
Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of telemedicine-based rehabilitation after stroke: a systematic review.Journal of neurology · 2026Pooled it
- Factors Underlying Stroke Recovery Variation by Neighborhood Socioeconomic Status.JAMA network open · 2026Article
- Joint trajectories of sleep quality and cognitive function after acute ischemic stroke: a prospective cohort study using group-based dual trajectory modeling.Frontiers in medicine · 2026Article
- Social Determinants of Health, Nursing Care Quality, and Patient Outcomes in Neurological Disorders: A Systematic Review.Risk management and healthcare policy · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPoststroke follow-up is associated with decreased rehospitalization and improved long-term outcomes. However, rates are variable and dependent on numerous factors, some of which are fixed (age, sex) while others are potentially modifiable (medical knowledge, access to care). The National Institutes of Health has identified key factors for healthcare inequity using a framework based on Social Determinants of Health. It is currently unknown which of these factors are the largest drivers of poststroke follow-up.
methodsWe evaluated a prospectively collected cohort of ≈2600 patients treated for ischemic stroke between 2014 and 2022. Potential variables were identified using the Social Determinants of Health framework and categorized as nonmodifiable or modifiable.
resultsFifty-six percent of patients returned to the clinic. Greater degrees of impairment (due to stroke severity, advanced age, and premorbid condition), less education, scheduling inflexibility (due to occupation and employment status), and lack of home support were nonmodifiable factors associated with decreased follow-up rates. Greater postdischarge needs (evaluated by rehabilitation status and discharge disposition) along with less family involvement during the discharge process were also associated with lower rates.
conclusionsThis study identifies key factors associated with poor follow-up, defining an at-risk population. Modifiable factors may serve as targets for enhanced postdischarge support, suggesting that patients may benefit from interventions aimed at family support and improved communication with rehabilitation facilities. The approach underscores the value of integrating Social Determinants of Health considerations into patient management to ensure equitable and effective healthcare delivery.
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